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Serum peptidome profiling in patients with gastric cancer

  • Key Lab of the Ministry of Education for Process Control and Efficiency Egineering
  • Xi'an Jiaotong University

Research output: Contribution to journalArticlepeer-review

23 Scopus citations

Abstract

To identify discriminating protein patterns in serum samples between gastric cancer patients (early and advanced stages) and healthy controls. We used magnetic bead-based separation followed by matrix-assisted laser desorption ionization (MALDI) time-of-flight (TOF) mass spectrometry (MS) to identify patients with gastric cancer. In total, serum samples from 62 gastric cancer patients (32 in the training set and 30 in the test set; 19 of which had early-stage tumors and 43 of which had advanced-stage tumors) and 64 healthy controls (32 in the training set and 32 in the test set) were analyzed. The mass spectra, analyzed using ClinProTools software, distinguished between cancer patients and healthy individuals based on three different algorithm models. In the training set, patients with gastric cancer could be identified with a mean sensitivity of 94.7% and a mean specificity of 99%. Similar results were obtained with the test set, showing 79.3% sensitivity and 86.5% specificity. Our study demonstrates the high sensitivity and specificity of screening serum protein patterns using MALDI-TOF MS for the identification of patients with gastric cancer.

Original languageEnglish
Pages (from-to)79-87
Number of pages9
JournalClinical and Experimental Medicine
Volume12
Issue number2
DOIs
StatePublished - Jun 2012

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Gastric cancer
  • Healthy controls
  • MALDI-TOF MS
  • Magnetic beads
  • Serum peptidome pattern profiling

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